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Seokju Cho
Seokju Cho
Korea University
Verified email at korea.ac.kr - Homepage
Title
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Year
Cost aggregation with 4d convolutional swin transformer for few-shot segmentation
S Hong, S Cho, J Nam, S Lin, S Kim
European Conference on Computer Vision, 108-126, 2022
90*2022
Cats: Cost aggregation transformers for visual correspondence
S Cho, S Hong, S Jeon, Y Lee, K Sohn, S Kim
Advances in Neural Information Processing Systems 34, 9011-9023, 2021
76*2021
Cat-seg: Cost aggregation for open-vocabulary semantic segmentation
S Cho, H Shin, S Hong, S An, S Lee, A Arnab, PH Seo, S Kim
arXiv preprint arXiv:2303.11797, 2023
242023
Midms: Matching interleaved diffusion models for exemplar-based image translation
J Seo, G Lee, S Cho, J Lee, S Kim
Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2191-2199, 2023
192023
Diffface: Diffusion-based face swapping with facial guidance
K Kim, Y Kim, S Cho, J Seo, J Nam, K Lee, S Kim, KH Lee
arXiv preprint arXiv:2212.13344, 2022
192022
Cats++: Boosting cost aggregation with convolutions and transformers
S Cho, S Hong, S Kim
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
172022
Lanit: Language-driven image-to-image translation for unlabeled data
J Park, S Kim, S Kim, S Cho, J Yoo, Y Uh, S Kim
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
72023
Neural matching fields: Implicit representation of matching fields for visual correspondence
S Hong, J Nam, S Cho, S Hong, S Jeon, D Min, S Kim
Advances in Neural Information Processing Systems 35, 13512-13526, 2022
42022
DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation
J Song, S Park, H An, S Cho, MS Kwak, S Cho, S Kim
Advances in Neural Information Processing Systems 36, 2024
3*2024
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
S Hong, S Cho, S Kim, S Lin
The Twelfth International Conference on Learning Representations, 2023
2*2023
AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning
J Kim, K Ryoo, G Lee, S Cho, J Seo, D Kim, H Cho, S Kim
arXiv preprint arXiv:2201.10444, 2022
22022
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